Scholarlink

<p>Large-aperture molten salt parabolic trough collector (PTC) systems can significantly increase solar field outlet temperatures, thereby enhancing cycle efficiency and reducing the unit cost per collector area. However, most existing mechanistic models for next-generation trough systems focus on steady-state heat transfer, with limited exploration of dynamic characteristics. As solar fields expand, cloud shading induces local thermal output fluctuations, affecting dynamic thermal performance and operational safety. To address these challenges, a high-fidelity distributed-parameter dynamic model is developed for a single molten salt trough loop, which is then used to analyze the dynamic response of multi-loop collector fields under various cloud-shading scenarios. A classical PID controller is implemented for outlet temperature tracking, with dynamic flow-rate modulation for disturbance suppression. The effects of cloud size and velocity under various shading patterns on parallel-loop temperature distribution and system efficiency are quantitatively analyzed. Results indicate that, under slow cloud shading, the overshoot is 0.027%, steady-state error 0.003°C, and settling time 530 s, maintaining 565°C but reducing efficiency by 1.0%–6.6%. Under fast shading, the settling time is about 1000 s, and the maximum overshoot decreases with weaker disturbances. These findings provide theoretical insights and practical strategies for improving the robustness of large-scale trough-based concentrated solar power (CSP) plants.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Dynamic Modeling and Control Strategy under Cloud Disturbance for Large-Aperture Molten Salt Parabolic Trough Field

  • 期刊论文

  • 发表日期：

    2026年3月16日

查看全文
  • Qinyu Liu,
  • Pei Wang

摘要

Large-aperture molten salt parabolic trough collector (PTC) systems can significantly increase solar field outlet temperatures, thereby enhancing cycle efficiency and reducing the unit cost per collector area. However, most existing mechanistic models for next-generation trough systems focus on steady-state heat transfer, with limited exploration of dynamic characteristics. As solar fields expand, cloud shading induces local thermal output fluctuations, affecting dynamic thermal performance and operational safety. To address these challenges, a high-fidelity distributed-parameter dynamic model is developed for a single molten salt trough loop, which is then used to analyze the dynamic response of multi-loop collector fields under various cloud-shading scenarios. A classical PID controller is implemented for outlet temperature tracking, with dynamic flow-rate modulation for disturbance suppression. The effects of cloud size and velocity under various shading patterns on parallel-loop temperature distribution and system efficiency are quantitatively analyzed. Results indicate that, under slow cloud shading, the overshoot is 0.027%, steady-state error 0.003°C, and settling time 530 s, maintaining 565°C but reducing efficiency by 1.0%–6.6%. Under fast shading, the settling time is about 1000 s, and the maximum overshoot decreases with weaker disturbances. These findings provide theoretical insights and practical strategies for improving the robustness of large-scale trough-based concentrated solar power (CSP) plants.